Abstract

The clinical success of tyrosine kinase inhibitors specific for BCR-ABL-, EGFR-, ALK-, and ROS1-driven cancers continues to spur the quest to match specific oncogene-defined tumor types with an appropriate molecularly targeted therapy. Unfortunately, responses to these agents are not durable with intrinsic or acquired resistance limiting benefit. Additionally, efforts to identify the appropriate targets of new drugs have focused on nonfunctional assays such as large-scale sequencing for somatic mutations or analysis of gene copy number. Acknowledging both the problem of resistance and the shortcomings of the current methods for detecting appropriate drug targets, much interest has been focused on RNAi-based screens. These screens utilize a library of shRNAs targeting the whole genome or a subset of genes and provide a high-throughput and unbiased means to functionally assess genes impacting various aspects of tumor biology, especially proliferation and survival. The function of genes can be measured in the context of a specific drug treatment, termed a synthetic lethal screen, or genes may be assessed for their individual dependency, termed an essential gene screen. Here, we describe a method for performing both of these types of screens using a kinome-targeted shRNA library in human cancer cell lines.

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